Add examples and header
Browse files
app.py
CHANGED
|
@@ -4,6 +4,19 @@ import spaces
|
|
| 4 |
from inference_gradio import inference_one_image, model_init
|
| 5 |
|
| 6 |
MODEL_PATH = "./checkpoints/docres.pkl"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 7 |
|
| 8 |
possible_tasks = [
|
| 9 |
"dewarping",
|
|
@@ -33,11 +46,13 @@ def run_tasks(image, tasks):
|
|
| 33 |
|
| 34 |
|
| 35 |
with gr.Blocks() as demo:
|
|
|
|
|
|
|
|
|
|
| 36 |
with gr.Row():
|
| 37 |
-
input_image = gr.Image(type="numpy")
|
| 38 |
-
output_image = gr.Image(type="numpy")
|
| 39 |
|
| 40 |
-
task = gr.CheckboxGroup(choices=possible_tasks, label="Choose tasks:")
|
| 41 |
button = gr.Button()
|
| 42 |
button.click(
|
| 43 |
run_tasks, inputs=[input_image, task], outputs=[output_image]
|
|
@@ -45,7 +60,13 @@ with gr.Blocks() as demo:
|
|
| 45 |
|
| 46 |
gr.Examples(
|
| 47 |
examples=[
|
|
|
|
|
|
|
| 48 |
["input/for_debluring.png", ["deblurring"]],
|
|
|
|
|
|
|
|
|
|
|
|
|
| 49 |
],
|
| 50 |
inputs=[input_image, task],
|
| 51 |
outputs=[output_image],
|
|
|
|
| 4 |
from inference_gradio import inference_one_image, model_init
|
| 5 |
|
| 6 |
MODEL_PATH = "./checkpoints/docres.pkl"
|
| 7 |
+
HEADER = """
|
| 8 |
+
<div align="center">
|
| 9 |
+
<p>
|
| 10 |
+
<span style="font-size: 30px; vertical-align: bottom;"> DocRes: A Generalist Model Toward Unifying Document Image Restoration Tasks </span>
|
| 11 |
+
</p>
|
| 12 |
+
<p style="margin-top: -15px;">
|
| 13 |
+
<a href="https://arxiv.org/abs/2405.04408" target="_blank" style="color: grey;">ArXiv Paper</a>
|
| 14 |
+
|
| 15 |
+
<a href="https://github.com/ZZZHANG-jx/DocRes" target="_blank" style="color: grey;">GitHub Repository</a>
|
| 16 |
+
</p>
|
| 17 |
+
</div>
|
| 18 |
+
"""
|
| 19 |
+
|
| 20 |
|
| 21 |
possible_tasks = [
|
| 22 |
"dewarping",
|
|
|
|
| 46 |
|
| 47 |
|
| 48 |
with gr.Blocks() as demo:
|
| 49 |
+
gr.Markdown(HEADER)
|
| 50 |
+
|
| 51 |
+
task = gr.CheckboxGroup(choices=possible_tasks, label="Tasks", value=["appearance"])
|
| 52 |
with gr.Row():
|
| 53 |
+
input_image = gr.Image(label="Raw Image", type="numpy")
|
| 54 |
+
output_image = gr.Image(label="Enhanced Image", type="numpy")
|
| 55 |
|
|
|
|
| 56 |
button = gr.Button()
|
| 57 |
button.click(
|
| 58 |
run_tasks, inputs=[input_image, task], outputs=[output_image]
|
|
|
|
| 60 |
|
| 61 |
gr.Examples(
|
| 62 |
examples=[
|
| 63 |
+
["input/218_in.png", ["dewarping", "deshadowing", "appearance"]],
|
| 64 |
+
["input/151_in.png", ["dewarping", "deshadowing", "appearance"]],
|
| 65 |
["input/for_debluring.png", ["deblurring"]],
|
| 66 |
+
["input/for_appearance.png", ["appearance"]],
|
| 67 |
+
["input/for_deshadowing.png", ["deshadowing"]],
|
| 68 |
+
["input/for_dewarping.png", ["dewarping"]],
|
| 69 |
+
["input/for_binarization.png", ["binarization"]],
|
| 70 |
],
|
| 71 |
inputs=[input_image, task],
|
| 72 |
outputs=[output_image],
|